Breakout 404: A smart space implementation for lighting services in the office domain

Offermans, Serge; Gopalakrishna, Aravind Kota; Essen, Harm van; Özçelebi, Tanır

doi:10.1109/inss.2012.6240532

Cited by 12 publications

(10 citation statements)

References 6 publications

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“…Some interfaces control light parameters of individual lamps, while others control the room's atmosphere as a whole. A more elaborate description of the living laboratory infrastructure can be found in [31]. The interfaces will be described in detail below.…”

Section: Experience Session: Interacting With Novel Lighting Interfacesmentioning

confidence: 99%

User interaction with everyday lighting systems

Offermans

Essen

Eggen

2014

Pers Ubiquit Comput

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New lighting technologies create new opportunities that may contribute to people's experience of light. These opportunities are a result of the increased variety and freedom in terms of colour, form factor and connectivity of the lights. To allow people to fully benefit from the potential of such novel lighting systems, there is a need for a new user interaction paradigm. To develop this paradigm, we have to better understand the aspects that play a part in the interaction with lighting, paying special attention to people's motivation for interaction. This paper reports on a context-mapping study that was performed to gain insight in these aspects. As result, we present a set of seven themes that regard the interaction with lighting in the current situation and in the future. These themes provide an overview of the relevant aspects in this domain and contain considerations and opportunities for the design of new interfaces for novel lighting systems. We conclude that people have different levels of lighting needs that are highly dependent on context and that also require control at different levels. The context and lighting needs have a large influence on the extent to which people are motivated to adjust their lighting. Moreover, the lighting interface itself has a large effect on this motivation, mainly influenced by the degrees of freedom, the control location and availability, the degree of automation and general interaction qualities.

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Section: Experience Session: Interacting With Novel Lighting Interfacesmentioning

confidence: 99%

User interaction with everyday lighting systems

Offermans

Essen

Eggen

2014

Pers Ubiquit Comput

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“…In [1], Kim Jiho et al present a smart office mainly aimed at light control with a smart socket device. S. Offermans et al put forward another method for lighting control with wireless sensor and actuator networks, and they introduced machine learning and user-system interaction methods in [2]. Furthermore, R. Kusber et.al proposed a smart space with control of lighting, heating/air conditioning and ventilating with an approach of context-aware management strategy in [3].…”

Section: Related Workmentioning

confidence: 99%

“…Consequently, one kind of human's behavior can be represented by a Boolean variable with a binary value, "presence (1)" or "absent (0)".Recently, benefited from the progress of internet of things technology and the smart handy, smart office systems can provide personalized service, e.g. in [2]. RFID-access technology is adopted in this smart office system.…”

Section: Related Workmentioning

confidence: 99%

A novel design for a comprehensive smart automation system for the office environment

2014

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

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A comprehensive smart office system is designed in this paper. Based on analyses of different kinds of scenarios, the corresponding sub-systems for ventilating, heating, lighting etc. are realized respectively. On the basis of the investigation of an independent office, the smart system is expanded to the whole building, i.e. smart office building. Then the corresponding subsystems are achieved for controlling the supporting facilities of the smart building. As an organic entirety, it is user-centric and sensitive to the context. In order to promote the usability of the smart office system, two alternative modes are designed, i.e. automatic mode and manual mode. Although manual mode is viewed as a supplement of the automatic mode, it is given by higher priority.

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“…The system is implemented in a living-lab setup which functions as an area for informal meetings or personal retreat within our department (Offermans et al, 2012). This 'breakout' area is adjacent to an open plan office space which accommodates about 70 students and staff.…”

Section: Living-lab Areamentioning

confidence: 99%

Exploring a Hybrid Control Approach for enhanced User Experience of Interactive Lighting

Offermans

Essen

Eggen

2013

Electronic Workshops in Computing

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{ s.a.m.offermans, h.a.v.essen, j.h.eggen } @ tue.nl Modern lighting systems allow for light settings that are more in tune with users' activities, by going beyond mere functional illumination. These systems have a large amount of controllable parameters such as intensity and colour of individual light sources. Using an autonomous control system is therefore an attractive option, especially since such control systems may also lead to reduced energy consumption. From a user experience point of view however, there are certain drawbacks to this automation. This paper proposes a hybrid approach towards lighting control to create a dynamic balance between user control and system automation. Such a hybrid system has the ability to autonomously set the lighting according to its knowledge about the current context, while offering users the possibility to manually adapt the light settings. These manual adaptations can in turn be used by the system to learn about user preferences in various situations, and thereby to improve its future lighting suggestions. To explore and evaluate this approach, a smart lighting system was developed as an initial implementation, and installed in a real office environment. The system employs a machine learning algorithm to achieve intelligent behaviour and provides users with an interface to control the lights and give feedback to the system. In a six-week study, the user experience of this initial implementation is evaluated. The results provide an insight in design considerations when adopting this approach for the design of smart lighting control systems. The considerations regard the type of machine learning, the degrees of freedom offered to the user, the insight in the system's decision making process, and the user interface.

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Breakout 404: A smart space implementation for lighting services in the office domain

Cited by 12 publications

References 6 publications

User interaction with everyday lighting systems

User interaction with everyday lighting systems

A novel design for a comprehensive smart automation system for the office environment

Exploring a Hybrid Control Approach for enhanced User Experience of Interactive Lighting

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